fc: Calculates the functional complementarity for the rows of a...

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/fc.R

Description

A community-level measure of ecological niche complementarity measured as the total branch length of a functional dendrogram based on qualitative differences in visitor assemblages between plants.

Usage

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fc(web, dist="euclidean", method="average", weighted=TRUE)

Arguments

web

A bipartite interaction web, i.e.~a matrix with higher (cols) and lower (rows) trophic levels.

dist

A distance accepted by the function dist.

method

The linkage method to be used by hclust. Any option accepted by hclust is allowed; defaults to "average".

weighted

Option to analyse the web as binary or as weighted network. Default is weighted=TRUE, but analysis presented in Devoto et al. (2012) uses weighted=FALSE.

Details

fc measures community-level ecological niche complementarity as the total branch length of a functional dendrogram based on qualitative differences in visitor assemblages between plants. For details see Devoto et al. (2012).

Value

The value of fc, which is not standardised and lies anywhere between 0 and a large number.

Author(s)

Mariano Devoto [email protected]

References

Devoto M., Bailey S., Craze P., and Memmott J. (2012) Understanding and planning ecological restoration of plant-pollinator networks. Ecology Letters 15, 319–328

See Also

networklevel, which uses this function.

Examples

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data(Safariland)
fc(Safariland)    
fc(t(Safariland), dist="canberra", method="complete")

Example output

Loading required package: vegan
Loading required package: permute
Loading required package: lattice
This is vegan 2.4-4
Loading required package: sna
Loading required package: statnet.common

Attaching package: 'statnet.common'

The following object is masked from 'package:base':

    order

Loading required package: network
network: Classes for Relational Data
Version 1.13.0 created on 2015-08-31.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Martina Morris, University of Washington
                    Skye Bender-deMoll, University of Washington
 For citation information, type citation("network").
 Type help("network-package") to get started.

sna: Tools for Social Network Analysis
Version 2.4 created on 2016-07-23.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.

 This is bipartite 2.08
 For latest changes see versionlog in  ?"bipartite-package".
 For citation see: citation("bipartite").
 Have a nice time plotting and analysing two-mode networks.


Attaching package: 'bipartite'

The following object is masked from 'package:vegan':

    nullmodel

[1] 1627.119
[1] 136.3638

bipartite documentation built on May 30, 2017, 1:25 a.m.